Evidence map›Paper›PMID 35080387›Full record

ArticleACS nano2022

Self-Assembly Dynamics of Reconfigurable Colloidal Molecules.

Indrani Chakraborty, Daniel J G Pearce, Ruben W Verweij, Sabine C Matysik, Luca Giomi, Daniela J Kraft

Abstract read
In one paragraph

Article in ACS nano, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Dynamic and asymmetric colloidal molecules.Nature communications · 2025
    Article
  8. Hopping and crawling DNA-coated colloids.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Indrani ChakrabortySoft Matter Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden Institute of Physics, PO Box 9504, 2300 RA Leiden, The Netherlands.
Daniel J G PearceInstitute-Lorentz, Universiteit Leiden, PO Box 9506, 2300 RA Leiden, The Netherlands.
Ruben W VerweijSoft Matter Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden Institute of Physics, PO Box 9504, 2300 RA Leiden, The Netherlands.ORCID 0000-0003-3925-5732
Sabine C MatysikSoft Matter Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden Institute of Physics, PO Box 9504, 2300 RA Leiden, The Netherlands.ORCID 0000-0002-7305-5171
Luca GiomiInstitute-Lorentz, Universiteit Leiden, PO Box 9506, 2300 RA Leiden, The Netherlands.
Daniela J KraftSoft Matter Physics, Huygens-Kamerlingh Onnes Laboratory, Leiden Institute of Physics, PO Box 9504, 2300 RA Leiden, The Netherlands.ORCID 0000-0002-2221-6473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colloidal molecules are designed to mimic their molecular analogues through their anisotropic shape and interactions. However, current experimental realizations are missing the structural flexibility present in real molecules thereby restricting their use as model systems. We overcome this limitation by assembling reconfigurable colloidal molecules from silica particles functionalized with mobile DNA linkers in high yields. We achieve this by steering the self-assembly pathway toward the formation of finite-sized clusters by employing high number ratios of particles functionalized with complementary DNA strands. The size ratio of the two species of particles provides control over the overall cluster size,

Indexed as

ColloidsPhotonsAnisotropyColloidscolloidal clusterscontrolled valencemobile DNA linkersself-assemblystructural flexibility

Identifiers

PMID35080387
PMCPMC8867909

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.